Prasad / Jadhav / Mhetre | Global Perspectives on Responsible and Regulated Artificial Intelligence | Buch | 978-1-041-46794-6 | www.sack.de

Buch, Englisch, 614 Seiten, Format (B × H): 210 mm x 280 mm

Reihe: Taylor and Francis Proceedings in Computer Science and Engineering

Prasad / Jadhav / Mhetre

Global Perspectives on Responsible and Regulated Artificial Intelligence


1. Auflage 2026
ISBN: 978-1-041-46794-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 614 Seiten, Format (B × H): 210 mm x 280 mm

Reihe: Taylor and Francis Proceedings in Computer Science and Engineering

ISBN: 978-1-041-46794-6
Verlag: Taylor & Francis Ltd


This volume, Global Perspectives on Responsible and Regulated Artificial Intelligence, presents the proceedings of the 1st International Conference on Responsible, Risk-Aware and Regulated Artificial Intelligence (RRRAI-2026), held on 3–4 April 2026 in Pune, India. This book brings together state-of-the-art research on one of the greatest challenges of our century: creating AI systems that are safe, transparent, fair, and accountable to influence industries and societies globally.

The book covers diverse topics, such as ethical design of AI, addressing bias, and human-AI interaction within Responsible AI; risk modeling, robustness, and adversarial resilience in Risk-aware AI; and governance structures, compliance, and global standards in Regulated AI. It also discusses applications in other fields such as healthcare, finance, cyber security, smart cities and sustainability. The contributions have gone through a highly rigorous double-blind peer review process.

The volume is a valuable resource for AI researchers, computer scientists, data scientists and engineers, and for policy makers, regulators and industry practitioners who want to learn about the risks of AI and governance frameworks. It will also benefit graduate students, doctoral scholars and academic institutions involved in responsible AI research, providing a thorough overview of the growing field of responsible AI innovation.

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Weitere Infos & Material


Data Fusion Architecture Empowered with Deep Learning for Breast Malignancy Categorization. A System Design–Oriented Responsible AI Framework for Ethical and Sustainable Smart Tourism Ecosystems. Developing Global Ethical Frameworks for AI-Driven Healthcare Diagnostics and Self-Screening. A Secure and Scalable IoT Framework for Decentralized Cancer Detection and Therapy Prediction using the BreakHis Dataset. Precise Liver Tumor Segmentation with novel SM-RCNN with Adaptive Histogram Equalization. Hybrid AI and LLM ensemble framework for resume screening in talent acquisition system. A system for detecting network intrusions that combines machine learning and hybrid boosting techniques. An Intelligent Tumor Detection System with Deep Neural Networks. AI Legal Assistance using CAG and XAI. A Comprehensive Survey on FinTech Platforms: Economic Foundations, Network Dynamics, and Market Evolution. Emotion Detect Studio: Real-Time Audio Based Emotion Recognition System. Intelli Hire: NLP-Driven Resume Screening & Match Scoring. A Decentralized Deep Learning Framework for Real-Time Anomaly Detection and Data Acquisition in Image and Video Analytics. Bridging the rural career guidance gap: A comparative study and a grounded multilingual AI architecture. A Hybrid AI-Based Chronic Disease Monitoring System Integrating Predictive Analytics and Conversational Reasoning. Blockchain-Enabled Secure Electronic Health Record Management and Sharing Framework Using Smart Contracts. Applications of Artificial Neural Networks for Prediction Vibration and Noise Characteristics of a Dual-Fuel Diesel Engine Using Karanja Biodiesel. Performance Management in Hybrid Work Environment: An Optimizing Perspective. Artificial Intelligence in Manufacturing. DNA Sequence Analysis and Species Classification. Anveshan: A Digital Solution for Missing Children and Alzheimer's Patients. Artificial Intelligence (AI)-Driven Nanotechnology For Sustainability: A Review On Materials Design, Environmental Applications And Green Innovation. Responsible and Risk-Conscious AI-Based verification of the LULC effects on the seasonal water quality of rivers: a case study of the Mula-Mutha River, Pune, India. A Responsible AI Framework for Real-Time Violence Detection in Smart Surveillance Systems. AI-Driven Diabetes Detection and Risk Assessment: A Hybrid CNN Model Combining Imaging and Clinical Data. Smart Beauty and Fashion Advisor Using Computer Vision and Machine Learning. A Cloud Based Custom CRM for Integrated Client, Document Management, and Workflow Management. AI-Powered Smart Rental Platform for Automating Property Management and Agreement. Prompt-Driven Assessment: Leveraging LLM for Automated Students' Performance Evaluation. A Comprehensive Review of Global and Indian AI-based Legal Judgment Prediction and Adaptation of Existing Global Methodologies to Indian Judiciary. Recent Approaches and issues in Ear Based Human Identification Using Ear Datasets. Hybrid Additive-Subtractive Manufacturing Technologies: A Pathway to Sustainable Manufacturing. A Comprehensive Survey on Iris Liveness Detection and Multimodal Biometric Authentication: Architectures, Datasets, Security Challenges, and Future Research Directions. Detecting Synthetic Media Artifacts: An Optimized Pre-processing and CNN Framework for Deepfake Analysis. Economic Education and Digital Literacy as Determinants of Investment Intention: Mediating Role of Financial Attitudes Among Stakeholders. Design of Compact Multi-Band MIMO Antenna with Integrated Stub Neutralization Line Technique for 5G Smartphone Applications. AI Powered Attentiveness Monitor and Video Transcriber. Bridging Academia and Industry Through AI-Driven Interview Intelligence. AI/ML Based Crop Recommendation Model. A Smart Conversational AI-Based Healthcare System for Patient Assistance. Autonomous Hyperparameter Synthesis for Constrained Cyber-Physical Controllers via Surrogate-Assisted Global Optimization. SafeStep: Intelligent IoT Framework for Fall Detection and Real-Time Alerting in Elderly Care. DeepFence: An Advanced AI-Based Synthetic Media Detection Framework. An Intelligent System for Resume Generation and Adaptive Interview Preparation. ShieldHer: AI-Powered Women Safety App. Efficient Approach for Rice Leaves Diseases Detection and Classification using Deep Learning. AI-Based Anomaly Detection in Surveillance Video Using CNN-LSTM with Adaptive Learning. Lightweight and Feature-rich Prediction of Financial Costs for GitHub Action Workflows. Diabetes Prediction Using Machine Learning: A Support Vector Machine Approach. Neuromorphic Chips: Computer Chips that Mimic the Human Brain's Neurons for Faster AI. Formal Framework for Ethical AI Evolution. A Machine Learning–Based Framework for Real-Time Traffic Congestion Prediction and Adaptive Signal Optimization. Enterprise-Grade Cybersecurity by Modular Domain-Specific AI Agents: A Phased Trust-Based Framework. MindTrack: A Multimodal AI Framework for Promoting Mental Well-Being in Sustainable Work Environments. Comparative Study of Deep Learning and Transformer-Based Models for Imbalanced Text Emotion Detection. Integrated Model for Thermodynamically Aware and Causally Optimized Energy-Efficient Resource Allocation in Industrial IoT Environments. Artificial Intelligence in High-Rise Construction: Design Optimization, Structural Analysis, and Site Safety Integration. TalkFlow: Real-Time Browser-Based S2ST via Hybrid Streaming Architectures. Unifying Detection, Reasoning, and Interpretability: A Financial Fraud Analysis using Integrated Random Forest, RAG and SHAP Framework. An IOT-Based Framework For Real Time Vehicle Pollution Monitoring System. Analysis of Voltage Profile of Agriculture Feeder Using Real Time Data and Validation of Result Using OpenDSS. Statute-Aligned Legal Relief Prediction (SALRP): LAMP² 2.0 Supervised Multi-Output Learning for Relief-Centric Legal Analytics under the PWDVA, 2005. Converting Exhaust Emissions into Valuable Carbon Products. Keylogger Detection and Mitigation System (KDMS) using Python Flask and Electron.js. EmotiSense: A Multimodal Framework for Facial and Textual Sentiment Prediction. A Review on machine learning based approach for classification and detection of cardiac disease and their early detection. Experimental implementation of Distributed Control System (DCS) for Multi-Products in single Reactor. NeuroNxt: A Scalable AI-Based Study Hub. Mental Burnout Detector for students. A Lightweight and Transparent Region of Extraction Framework for Knee X-Ray Analysis. Hardware Implementation of a Novel H8-Optimized Controller for a Single-Tank Liquid Level Control System. Marathi Question Answering System: State of the art, current landscape and challenges. AI based Deepfake Detection tool for Social Media integrity. LORA - Based Forest Fire Early Detection Network. Challenges and Opportunities in Low-Resolution Micro-Expression Recognition: Toward Interpretable and Deployable MER Systems. A Fusion Model Combining Graph-based XGBoost and LightGBM Emotion Recognition from Text. Automated Query Regression Detection Pipeline Using Query Store and Deep Learning. A Comprehensive Study of Knowledge Graphs: Theory, Methods, and Domain Applications. Application of Artificial Intelligence in Customer Experience Management in Nationalized Banks: Risks, Readiness and Roadmap. Quantum-Enhanced Neural Networks for Medical Imaging: A Benchmarking Study in Data-Scarce Environments. Synthetic Financial Data Generation Using Quantum-Inspired Tensor Networks. Evidence-Based AI Governance for AI-Based, AI-Powered, and AI-Native Systems in the Technology, Media, and Telecom (TMT) Industry: A Statistical and Empirical Modelling Approach. Unified Spatial Intelligence: How Hybrid AR and Sensor Fusion Create Seamless, Context-Aware Enterprise Navigation.


Rajesh Prasad is a distinguished researcher and academic leader currently serving as Professor and Principal at Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune. He is widely recognized for his impactful contributions in Computer Science, Artificial Intelligence, Machine Learning, Healthcare Technology, Financial Analytics, and Natural Language Processing. Dr. Prasad has an impressive scholarly record with 61 journal publications and 55 conference papers, along with 12 book chapters and one edited book, published in reputed SCI and SCOPUS-indexed journals. He has successfully guided seven Ph.D. scholars, reviewed over 12 doctoral theses, and regularly serves as an external referee, examiner, and expert panelist for Ph.D. evaluations across universities.

Sunita Jadhav is an accomplished academician and researcher in Chemical Engineering, currently serving as Vice Principal (Accreditation and Research) and Professor, Department of Chemical Engineering at Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune. With over 28 years of academic and research experience, she has made significant contributions to cavitation-based hybrid processes, wastewater treatment, process intensification, and nanomaterial synthesis. Dr. Jadhav has published 48 research papers in reputed international journals and conferences, including Scopus and Web of Science indexed publications, and has authored three book chapters with leading publishers such as CRC Press. Her work has received over 1200 citations with an h-index of 17, reflecting strong research impact.

Harshada Mhetre is an Assistant Professor in the Department of Electronics and Communication Engineering at Bharati Vidyapeeth (Deemed to be University), Pune, India, with over 17 years of teaching and 15 years of active research experience. Her research lies at the intersection of nanotechnology, renewable energy, and data-driven materials engineering, with a strong emphasis on electrospun nanofibers for high-efficiency solar cells. Dr. Mhetre has authored 16 international journal publications (12 SCOPUS/SCI-indexed), contributed 4 SCOPUS-indexed book chapters, holds three patents (including a UK-granted nanomesh biosensing device), and has led funded research projects focused on solar cell performance enhancement. Her work has received international recognition through Best Paper Awards, and she actively collaborates with premier research institutions, contributing to the translation of nanomaterials research into scalable energy and sensing applications.

Sanjay Misra is a Senior Scientist at the Institute for Energy Technology, Norway. He holds a Ph.D. in Information and Knowledge Engineering (Software Engineering) from the University of Alcalá, Spain, and an M.Tech. in Software Engineering from Motilal Nehru National Institute of Technology Allahabad, India. With extensive academic and research experience across Europe, Africa, and Asia, he has served in senior academic positions, including Full Professor of Software Engineering. His research interests include Software Engineering, Software Quality Assurance, Cyber Security, Health Informatics, Artificial Intelligence, and Applied Informatics. He has authored and co-authored hundreds of peer-reviewed publications and delivered over 100 keynote and invited lectures worldwide. A Senior Member of IEEE and an active contributor to international scientific committees, he is widely recognized for his significant contributions to software engineering research and global academic collaboration.



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